During their recent projects, Gycm520 developed post-publish file parameter support for the WorkflowTool in the langgenius/dify repository, introducing a mechanism to update file mappings based on transfer methods and ensuring correct file ID references after workflow publication. This Python-based backend enhancement reduced post-publish errors and improved workflow automation reliability. Additionally, Gycm520 addressed a critical bug in the modelscope/ms-swift repository by fixing the EarlyStopping plugin, ensuring the patience counter resets correctly on metric improvement. Their work demonstrated depth in API development, bug fixing, and plugin development, focusing on robust, maintainable solutions that enhance automation and machine learning training stability.